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  • Küçük Resim
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    Artificial neural networks based computational and experimental evaluation of thermal and drying performance of partially covered PVT solar dryer
    (Institution of Chemical Engineers, 2024) Gupta, Ankur; Das, Biplab; Arslan, Erhan; Das, Mehmet; Koşan, Meltem; Can, Ömer Faruk
    This study proposes a mixed-mode dryer with a semi-transparent photovoltaic thermal (PVT) collector for the assessment of drying and thermal performance using computational and experimental findings. The thermal behavior and fluid flow characteristics have been analyzed to optimize the air flow rate in the PVT solar dryer by considering three different inlet velocities of 0.048 m/s (Case 1), 0.096 m/s (Case 2), and 0.144 m/s (Case 3). The temperature distribution is obtained more uniformly for the PVT collector and dryer cabin in Case 2. The results of the investigation show that Case 3 has a positive impact on the PVT solar dryer performance. In numerical and experimental methods, the enhanced thermal efficiency is attained as 30.78% and 29.78% for Case 2, and 33.20% and 31.14% for Case 3, respectively, in comparison to Case 1. Case 3 has improved Reynolds and Nussselt numbers by 3.06 and 2.45 times, respectively compared to Case 1. Experimental results varied by 2.24 to 4.90% from simulated outcomes obtained from CFD. The machine learning approach of ANN has been implemented with different hidden layers network models to choose the best drying conditions by predicting the drying performance parameters.
  • Küçük Resim
    Öğe
    Artificial neural networks based computational and experimental evaluation of thermal and drying performance of partially covered PVT solar dryer
    (Institution of Chemical Engineers, 2024) Gupta, Ankur; Das, Biplab; Arslan, Erhan; Daş, Mehmet; Koşan, Meltem; Can, Ömer Faruk; 0000-0001-5037-6119; 0000-0003-3752-6308; 0000-0002-7540-7935; 0000-0002-4143-9226; 0000-0003-0799-889X
    This study proposes a mixed-mode dryer with a semi-transparent photovoltaic thermal (PVT) collector for the assessment of drying and thermal performance using computational and experimental findings. The thermal behavior and fluid flow characteristics have been analyzed to optimize the air flow rate in the PVT solar dryer by considering three different inlet velocities of 0.048 m/s (Case 1), 0.096 m/s (Case 2), and 0.144 m/s (Case 3). The temperature distribution is obtained more uniformly for the PVT collector and dryer cabin in Case 2. The results of the investigation show that Case 3 has a positive impact on the PVT solar dryer performance. In numerical and experimental methods, the enhanced thermal efficiency is attained as 30.78% and 29.78% for Case 2, and 33.20% and 31.14% for Case 3, respectively, in comparison to Case 1. Case 3 has improved Reynolds and Nussselt numbers by 3.06 and 2.45 times, respectively compared to Case 1. Experimental results varied by 2.24 to 4.90% from simulated outcomes obtained from CFD. The machine learning approach of ANN has been implemented with different hidden layers network models to choose the best drying conditions by predicting the drying performance parameters.
  • [ X ]
    Öğe
    Experimental and numerical assessment of PV-TvsPV by using waste aluminum as an industrial symbiosis product
    (Pergamon-Elsevier Science Ltd, 2022) Can, Omer Faruk; Arslan, Erhan; Kosan, Meltem; Demirtas, Mehmet; Aktas, Mustafa; Aktekeli, Burak
    Photovoltaic thermal (PV-T) collectors provide an advantage over normal photovoltaic (PV) module use by generating electrical energy and heat energy at the same time. In addition, it is possible to get more energy by increasing the electrical efficiency by cooling the PV module of the PV-T systems. In this study, PV-T system using waste aluminum and PV module were tested numerically and experimentally and their performances were compared with each other. With 4E analysis, the advantage of PV-T system over PV module was revealed. Various configurations of the PV-T (different geometries of waste aluminum) were analyzed in CFD before the experiments were carried out. Agreement between CFD and experimental results were obtained with 6.8% average error. The PV-T system was tested under similar meteorological conditions at an airflow of 50, 75 and 100 m(3)/h. Consequently, the thermal and electrical efficiencies of the PV-T collector were determined to be 33.41%, 41.17%, 49.62% and 11.57%, 12.99%, 13.17%, respectively. On the other hand, the electrical efficiencies of the PV module under the same condition were calculated as 10.96%, 12.04%, 11.74%. Thanks to the using waste aluminum the PV-T module was cooled to 6.79 degrees C and it has been obtained more 16.78% in electrical efficiency.
  • [ X ]
    Öğe
    Experimental and numerical investigation of a novel photovoltaic thermal (PV/T) collector with the energy and exergy analysis
    (Elsevier Sci Ltd, 2020) Arslan, Erhan; Aktas, Mustafa; Can, Omer Faruk
    The high energy costs and environmental factors in energy systems cause pushed researchers to produce both heat and electricity from a single collector. In this context sustainable solar photovoltaic thermal energy system stand out with cleaner heat and electricity production at the same time. In this study, a new type of finned air fluid photovoltaic-thermal collector was designed, manufactured and tested. Numerical and experimental analysis were performed with different mass flow rates. Numerical analysis of the PV/T design was carried out before the experiments were conducted. ANSYS program was used to predict the surface temperature of PV module based numerical simulations validation ensures good agreement between the numerical and experimental results. In this way, the energy efficiency of the collector and the temperature of the outlet hot air were wanted to be estimated without experiment. The experiments were performed in two different mass flow rates [m(a) = 0.031087 kg/s and m(b) = 0.04553 kg/s] under similar meteorological conditions by investigating the effect of cooling on the PV module. Thanks to cooling of PV, 0.42% improvement in electrical efficiency was achieved. Energy and exergy analyses were performed to analyze the thermal and electrical efficiency of the PV/T collector. Thanks to the cooling of the PV panel, electrical efficiency increased by 0.42%. The average thermal and electrical efficiency of PV/T were obtained as for m(a) = 0.031087 kg/s 37.10% and 13.56% and for m(b) = 0.04553 kg/s 49.5% and 13.98%, respectively. Energy and exergy analyses were performed to analyze the thermal and electrical efficiency of the collector. The average thermal and electrical efficiency of PV/T were obtained as for m(a) = 0.031087 kg/s 37.10% and 13.56% and for m(b) = 0.04553 kg/s 49.5% and 13.98%, respectively. This study offers an efficient solution to numerical and experimental aspects air cooled PV/T for industrial producers with energy and exergy perspective. (C) 2020 Elsevier Ltd. All rights reserved.
  • Küçük Resim
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    Numerical and experimental assessment of a photovoltaic thermal collector using variable air volume
    (Elsevier Ltd., 2023) Arslan, Erhan; Can, Ömer Faruk; Koşan, Meltem; Demirtaş, Mehmet; Aktekeli, Burak; Aktaş, Mustafa
    Photovoltaic thermal collectors (PV-T’s) produce both thermal and electrical power simultaneously by using solar radiation. In this study, a new type of air-cooled PV-T’s with copper fins was designed and tested with variable airflows to control voltage of the fans (6, 8, 10, 12 V) electrical and thermal loads in solar photovoltaic (PV) systems. The novelty of this research is to design a fin with an increasing number of holes and rising height from the inlet to the outlet of the PV-T. In this way, it is aimed to enhance the heat transfer by increasing the turbulence of the air in the PV-T and to cool the PV-T homogeneously. As a result, average thermal, electrical, exergy and enviroeconomic efficiency of the experiments were found as 32.71 %, 12.77 %, 12.97 % and 0.76 kgCO2/h for PV-T panels. Due to cooling of PV with air circulation, 0.38 % increase in electrical efficiency was achieved. The surface temperatures PV-T panels were obtained with 3.2 % error rate by using computational fluid dynamic (CFD) before the experiments. The amount of power consumed by the fans against the increased electrical power was determined as 16.1 % and 4.4 % for the 12 and 6 V experiments, respectively. As a result, increasing the voltage of the fans increased both thermal and electrical performance and the best results were obtained in 12 V experiments. The outputs obtained about the PV-T collector for sustainable energy systems will contribute to researchers and industry in this field.